Understanding User Preferences of Digital Privacy Nudges – A Best-Worst Scaling Approach

dc.contributor.author Schöbel, Sofia
dc.contributor.author Barev, Torben
dc.contributor.author Janson, Andreas
dc.contributor.author Hupfeld, Felix
dc.contributor.author Leimeister, Jan Marco
dc.date.accessioned 2020-01-04T07:58:09Z
dc.date.available 2020-01-04T07:58:09Z
dc.date.issued 2020-01-07
dc.description.abstract Digital nudging in privacy has become more important to protect users of information systems while working with privacy-related data. Nudging is about altering a user’s behavior without forbidding any options. Several approaches exist to “nudge” users to change their behavior. Regarding the usage of digital privacy nudges, research still has to understand the meaning and relevance of individual nudges better. Therefore, this paper compares the preferences of users for different digital nudges. To achieve this goal, it presents the results of a so-called best-worst scaling. This study contributes to theory by providing a better understanding of user preferences regarding design variations of digital nudges. We support practitioners by giving implications on how to design digital nudges in terms of user preferences.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2020.479
dc.identifier.isbn 978-0-9981331-3-3
dc.identifier.uri http://hdl.handle.net/10125/64221
dc.language.iso eng
dc.relation.ispartof Proceedings of the 53rd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Behavioral Economics in the Digital Economy: Digital Nudging and Interface Design
dc.subject best-worst scaling
dc.subject nudging
dc.subject privacy nudging
dc.subject user preferences
dc.title Understanding User Preferences of Digital Privacy Nudges – A Best-Worst Scaling Approach
dc.type Conference Paper
dc.type.dcmi Text
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